You will build and scale the systems that support the revenue team, including Salesforce architecture, data models, and AI-powered workflows. You will partner with sales, finance, and engineering to ensure accurate forecasting, territory management, and efficient GTM operations.
The Sales Operations Analyst will manage the day-to-day revenue team operations, including standing up a deal desk and overseeing pricing, forecasting, and sales performance analysis. This role involves collaborating with sales leadership and finance to ensure data integrity and effective go-to-market execution.
You will embed with customers to deploy production-grade computer vision workflows, handling everything from data pipelines to edge hardware configuration. Additionally, you will act as a technical feedback loop to the product and engineering teams to help shape the future of the Roboflow platform.
You will secure, scale, and maintain the core infrastructure powering the product, including cloud architecture, databases, and machine learning pipelines. You will also collaborate across teams to define SLOs, manage incident response, and implement cost-optimization strategies.
You will own corporate IT end-to-end, including identity management, device fleet administration, and the employee lifecycle. Additionally, you will automate repetitive IT tasks and support security and compliance initiatives.
Lead and scale the Delivery organization, including Implementation and Forward Deployed Engineering teams, to drive successful customer outcomes. Act as a hands-on leader who manages complex deployments, builds scalable operational playbooks, and fosters tight feedback loops between customers and the product team.
Develop and deliver technical enablement programs, including webinars and workshops, to help customers successfully use the Roboflow platform. Identify recurring customer friction points to create scalable educational assets and improve product usability.
The Solutions Architect will act as the primary technical resource in pre-sales, collaborating with the sales team to qualify opportunities and design scalable edge-based computer vision solutions. They will lead technical demonstrations, proof of concepts, and serve as a trusted advisor to clients regarding technical requirements and deployment methodologies.
You will design and build reinforcement learning environments, evaluations, and datasets to improve frontier model capabilities. Additionally, you will develop scalable infrastructure and collaborate with researchers at leading AI labs to ensure high-quality, reproducible data pipelines.
You will own the end-to-end delivery of datasets and environments for AI labs, managing the process from intake to final shipment. Additionally, you will interface with researchers and engineers to translate requirements into concrete specs and automate recurring tasks.
Build and maintain the flagship open source computer vision inference engine while developing an agentic-driven contribution and release pipeline. Act as the technical steward and public face of the project, bridging the gap between core engineering and customers.
Own entire product surfaces from idea to impact, focusing on the end-to-end pipeline for computer vision projects. Collaborate on strategy and roadmap decisions while shipping features that reduce user friction.
Own the end-to-end hiring process for go-to-market functions including Sales, Customer Success, Marketing, and Partnerships. Partner with leadership to define role requirements, build scalable recruiting systems, and attract top AI talent.
Own full-cycle recruiting across Product, Engineering, Design, and Research to hire exceptional technical talent. Partner with leadership to define success profiles, refine hiring strategies, and improve recruiting systems and tooling.
Own end-to-end product positioning and lead high-impact product launches to transition the company's narrative to a Vision AI platform. Develop buyer-facing surfaces and sales enablement materials to support complex B2B sales cycles across various industrial verticals.
Lead the 0-to-1 phase of customer deployments by building production-grade computer vision workflows and configuring edge hardware. Act as a technical bridge between customers and internal product teams to refine the Roboflow platform based on real-world field data.
This role involves building and extending Salesforce functionality using Apex, LWC, and custom objects, while also implementing GTM workflows and automation across the broader tech stack including tools like Outreach and ZoomInfo. Key tasks include supporting custom forecasting logic, building lightweight internal tools, refining integrations, and helping design AI/LLM-powered workflows.
